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DBMS > Amazon DynamoDB vs. BoltDB vs. FaunaDB vs. Microsoft Azure Cosmos DB

System Properties Comparison Amazon DynamoDB vs. BoltDB vs. FaunaDB vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBoltDB  Xexclude from comparisonFaunaDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAn embedded key-value store for Go.FaunaDB provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Globally distributed, horizontally scalable, multi-model database service
Primary database modelDocument store
Key-value store
Key-value storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score66.18
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.64
Rank#209  Overall
#36  Key-value stores
Score1.86
Rank#127  Overall
#19  Document stores
#8  Graph DBMS
#63  Relational DBMS
#9  Time Series DBMS
Score31.67
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­dynamodbgithub.com/­boltdb/­boltfauna.comazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.fauna.comdocs.microsoft.com/­azure/­cosmos-db
DeveloperAmazonFauna, Inc.Microsoft
Initial release2012201320142014
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScala
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
hostedhosted
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonoyes infoJSON types
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesnoyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
GoC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnonouser defined functionsJavaScript
Triggersyes infoby integration with AWS LambdanonoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoconsistent hashingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionyesACIDMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noIdentity management, authentication, and access controlAccess rights can be defined down to the item level
More information provided by the system vendor
Amazon DynamoDBBoltDBFaunaDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsFlexible query model that combines GraphQL with custom business logic Effortlessly...
» more
Competitive advantagesNative GraphQL support with automatic mutations for easy on-ramp Native GraphQL,...
» more
Typical application scenariosJavascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more
Key customersShiftX
» more
Licensing and pricing modelsUsage-based pricing including a free tier
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDynobase: Professional DynamoDB GUI Client. Available for Mac, Windows & Linux.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DynamoDBBoltDBFaunaDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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